Principal manifold learning by sparse grids.
Christian FeuersängerMichael GriebelPublished in: Computing (2009)
Keyphrases
- manifold learning
- high dimensional
- sparse representation
- low dimensional
- dimensionality reduction
- semi supervised
- diffusion maps
- nonlinear dimensionality reduction
- subspace learning
- laplacian eigenmaps
- dimension reduction
- feature extraction
- high dimensional data
- manifold structure
- locality preserving
- manifold learning algorithm
- neural network
- discriminant embedding
- random projections
- sparse coding
- feature space
- geodesic distance
- head pose estimation
- face recognition
- locally linear embedding
- image classification
- data analysis
- similarity measure
- image processing